Fudan University Reports Findings in Hemangioma (Radiomicsbased automated machi ne learning for differentiating focal liver lesions on unenhanced computed tomog raphy)
Fudan University Reports Findings in Hemangioma (Radiomicsbased automated machi ne learning for differentiating focal liver lesions on unenhanced computed tomog raphy)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Hemangioma is the subj ect of a report. According to news reportingfrom Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Enhanced computedtomography (C T) is the primary method for focal liver lesion diagnosis. We aimed to use autom atedmachine learning (AutoML) algorithms to differentiate between benign and ma lignant focal liver lesionson the basis of radiomics from unenhanced CT images. ”
Key words
Shanghai/People’s Republic of China/As ia/Computed Tomography/Cyborgs/Dermatology/Emerging Technologies/Health and Medicine/Hemangioma/Imaging Technology/Machine Learning/Technology
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